{"id":"W3144465668","doi":"10.1021/acs.langmuir.1c00215","title":"Droplet Control Based on Pinning and Substrate Wettability","year":2021,"lang":"en","type":"article","venue":"Langmuir","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"H2020 Marie Skłodowska-Curie Actions; Infrastruktura PL-Grid; European Commission","keywords":"Wetting; Nanotechnology; Nanoscopic scale; Pinning force; Microfluidics; Materials science; Substrate (aquarium); Work (physics); Process (computing); Computer science; Physics; Condensed matter physics; Mechanical engineering; Critical current; Engineering; Superconductivity; Composite material","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001321857,0.0002707441,0.0002606768,0.000170799,0.0001926894,0.0005083387,0.0003708565,0.0002725366,0.001091482],"category_scores_gemma":[0.0005373445,0.0001590503,0.0001828812,0.0001561108,0.0004363654,0.0006238956,0.0004353703,0.000353566,0.0001033054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000333213,"about_ca_system_score_gemma":0.000283575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006475053,"about_ca_topic_score_gemma":0.0006287771,"domain_scores_codex":[0.9998653,0.000012256,0.000008974052,0.00003275982,0.00004599627,0.00003469415],"domain_scores_gemma":[0.9998367,0.00007719818,0.00003296526,0.00001653126,0.00001848612,0.00001810858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008973672,0.00004256476,0.0004365918,0.00009694695,0.00001463803,0.0001984762,0.00005823763,0.02352249,0.9623106,0.006390816,0.0001201186,0.006718657],"study_design_scores_gemma":[0.00005962758,0.0001875309,0.00104995,0.000008568976,0.00001479412,0.00009568773,0.00003069101,0.4275521,0.5678939,0.001720984,0.001351751,0.00003430609],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9353817,0.0008439897,0.05718746,0.0001682202,0.00009998115,0.00009784389,0.00008585639,0.0002795841,0.005855283],"genre_scores_gemma":[0.9947668,0.0002812911,0.004430374,0.00002023739,0.000005914628,0.00002238266,0.00002711906,0.0000167342,0.0004290134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001091482,"threshold_uncertainty_score":0.003651381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01517843452090142,"score_gpt":0.2331613931445289,"score_spread":0.2179829586236275,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}